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Formant estimation system based on weighted least-squares lattice filters

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3 Author(s)
Huang, X. ; University of Edinburgh, Centre for Speech Technology Research, Edinburgh, UK ; Duncan, G. ; Jack, M.

A formant estimation system using the adaptive weighted least-squares lattice (WLSL) algorithm and novel formant labelling techniquesis presented in the paper. In the WLSL, the likelihood variable, which can be considered as a statistical measure of the non-Gaussian component of the speech signal, is used to deweight time intervalsin the speech waveform which correspond to glottal excitation. A short analysis window coupled with optimal frame position placement, determined by the local minima of both the likelihood variable and the residual, is used to emulate glottis-closure, closed-phase analysis. The algorithm, which can also be considered as a special form of robust linear prediction analysis, offers an improved performance (i.e. a less biased formant frequency) in comparison to the frame-based linear prediction analysis. After formant candidates have been frame extracted from the spectral estimates for each of the waveform, a clustering procedure is first used to produce line segments of possible formants. A rule-based labelling mechanismis then applied to these segments to provide final formant trace estimates. Experimental results show the labelling algorithm proposed here offers improved formant labelling accuracy.

Published in:

Communications, Radar and Signal Processing, IEE Proceedings F  (Volume:135 ,  Issue: 6 )

Date of Publication:

December 1988

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